Matthew Dellavedova vs Arnav Vijay Paparkar Head-to-Head Stats, Results & Performance Comparison

Wojtek Kolan

Wojtek Kolan

HEAD TO HEAD

M. Dellavedova vs A. Vijay Paparkar

Matthew Dellavedova
Matthew Dellavedova

Flag AUS AUS

w
l
l
w
w
w
l
l
w
l
Arnav Vijay Paparkar
Arnav Vijay Paparkar

Flag IND IND

l
l
w
l
l
l

1

Win

1

Played

0

Win

25
Age
17
6'3" (191 cm)
Height
-
423
C. Rank
0
334
Best Rank
0
0
Total Titles
0
0
YTD Titles
0
$3.5K
Career Money
$0
Right-Handed
Plays
-

Head-to-head: Dellavedova 1 - 0 Paparkar

They have played 2 sets in total, with Matthew Dellavedova winning 2 and Arnav Vijay Paparkar winning 0. The last match between Matthew Dellavedova and Arnav Vijay Paparkar was at the Pune Challenger, 16-02-2025, Round: Q1, Surface: Hard, with Matthew Dellavedova getting the victory 6-2 6-3.

PlayersHead To Head Match Wins
Dellavedova1
Paparkar0
Last 1 H2H Matches:

(Q1Pune Challenger(02-16-25)

Hard
AUS Flag
Matthew Dellavedova
6
6
IND Flag
Arnav Vijay Paparkar
2
3

M. Dellavedova vs A. V. Paparkar H2H Profile

Stats
$3,550Career Prize Money$0
54.62% (331-275)Career Total W/L16.67% (1-5)
1Hard0
4Titles0
1Total H2H Matches0
0% (0-0)YTD Win/Loss0% (0-0)

M. Dellavedova vs A. V. Paparkar Match Preview:

  1. Recent Performance in Second Serve: Over the past six months, there has been a notable discrepancy between the second serve performances of Paparkar and Dellavedova. Paparkar, unfortunately, has been unable to secure any points on their second serve, whereas Dellavedova has displayed remarkable proficiency by winning 52.57% of such points. It is worth emphasizing that there exists a substantial correlation between this specific statistic and the accuracy of match predictions.
  2. Return Game Statistics in Recent Form: Analyzing the recent return game statistics sheds light on the current capabilities of Paparkar and Dellavedova. Paparkar has struggled to claim victory in their opponents' second serve points, failing to win a single percentage point. Conversely, Dellavedova's return game proficiency has been highly impressive with a success rate of 53.12%. Additionally, when considering first serve returns, Paparkar lags behind significantly with a success rate of 0%, while Dellavedova boasts a commendable figure of 36.21%. These figures carry substantial weight when trying to ascertain the favored player in this upcoming head-to-head matchup.
  3. Under Pressure Analysis: Examining the players' ability to perform under pressure, it is apparent that Paparkar has struggled to save breakpoints in recent times, successfully defending 0% of them. On the other hand, Dellavedova has demonstrated remarkable resilience, managing to save 55.47% of breakpoints faced. This valuable data serves as a useful tool for those interested in in-game betting predictions.
  4. Comprehensive Performance Overview: Examining the performance of Paparkar and Dellavedova over the past year reveals intriguing insights. Paparkar's win rate stands at a meager 0%, having won only a solitary match out of a total of one played (W/L record of 0/1). Dellavedova, on the other hand, boasts an impressive 59.6% win rate, emerging victorious in 59 matches out of a total of 99 played (W/L record of 59/40). These figures contribute to the overall head-to-head prediction overview.
  5. Preferred Surface: In terms of preferred surfaces, Paparkar achieves their highest career win percentage on hard courts at 0% (W/L record of 0/1). Conversely, they struggle on I.hard courts, clinching a mere 0% victory rate (W/L record of 0/1). Dellavedova, on the other hand, thrives on hard courts, boasting an impressive career win percentage of 57% (W/L record of 153/115). However, their performance diminishes on I.hard courts, with a win percentage of 18% (W/L record of 2/9).
  6. Player Level: Over the past year, Paparkar predominantly competed in Challenger/ITF tournaments with prizes exceeding $10K. Unfortunately, their performance in these tournaments yielded zero victories (W/L record of 0/1). In contrast, Dellavedova participated mainly in Futures/Satellites/ITF tournaments with prizes worth $10K, achieving an outstanding 69.84% win rate (W/L record of 44/19). When comparing player statistics to predict the preferred player, it is crucial to consider the event level at which they have been competing.
  7. Opponent Quality Statistics: When evaluating the respective opponents faced by Paparkar and Dellavedova over the past 12 months, it becomes evident that Paparkar confronted opponents with an average rank of 547, while Dellavedova competed against players with an average rank of 417.69.
  8. Deciding Set Performance versus All Players: For those eager to engage in live predictions and betting, it is worth noting that Paparkar has struggled in deciding sets over the past year, failing to secure any victories, with a 0% success rate. In contrast, Dellavedova has excelled in these crucial moments, emerging victorious in an impressive 79% of deciding sets in all matches played on the professional tour.
  9. Current Event Head-to-Head Stats: While past player performance undeniably provides valuable insights for predicting tennis matches, it is imperative to consider current event statistics for players in exceptional form. Interested observers should consult the section below for a detailed analysis if the players have already competed in the ongoing event. Additionally, one should take into account the fact that certain players exhibit superior performances at specific events, thereby influencing the predicted outcome.
  10. Breakpoint Conversion: Regarding recent form, Paparkar has encountered difficulty in converting breakpoint opportunities, succeeding in a mere 0% of such chances. In stark contrast, Dellavedova has proven exceptional in this aspect, converting an impressive 49.83% of breakpoint opportunities to break their opponents' serves. This particular statistic represents a vital factor to consider when making in-game live betting decisions.
  11. For those intrigued by predictive models for tennis matches, I recommend referring to this article as a valuable starting point. However, be advised that it caters primarily to enthusiasts with a penchant for statistical analysis.

Matthew Dellavedova vs Arnav Vijay Paparkar Editorial Preview By TennisTipster88.

M. Dellavedova vs A. V. Paparkar H2H Stats Used In Our Predictions

Stats
1H2H Matches Won0
2Sets Won0
12Games Won5
0Aces (Total)1
1Total Double Faults1
1:11:43Average Match Time1:11:43
77% (36/47)1st Serve %64% (37/58)
81% (29/36)1st Serve Win %54% (20/37)
73% (8/11)2nd Serve Win %57% (12/21)
38% (3/8)Break Pts Won %0% (0/0)
45% (26/58)Return Points Win %21% (10/47)
100% (1/1)Best‑of‑3 Win %0% (0/1)
100% (1/1)1st Set Won, Won Match0% (0/0)
0% (0/1)1st Set Won, Lost Match0% (0/0)
0% (0/0)1st Set Lost, Won Match0% (0/1)

Recent Performance Stats

2nd Serve Win %: Dellavedova 50%, Paparkar 55%.
Opp 2nd Serve Pts Won: Dellavedova 52%, Paparkar 43%.
Break Points Saved %: Dellavedova 54%, Paparkar 50%.

M. Dellavedova Recent Matches Played

OPPONENTRESULTSCOREH2H
HardSydney Challenger - 17-11-2025

R2

AUSJ. Duckworth
L
6-3 6-0

R1

CANF. Peliwo
W
6-2 6-2
HardBrisbane 3 Challenger - 10-11-2025

R1

GBRE. Hudd
L
6-1 2-6 6-2
HardM25 Brisbane - 27-10-2025

SF

AUSD. Sweeny
L
6-2 6-1

QF

AUSJ. Delaney
W
7-6(4) 7-6(4)

A. V. Paparkar Recent Matches Played

OPPONENTRESULTSCOREH2H
HardM15 Bhubaneswar - 17-11-2025

R1

INDS. Banthia
L
6-7(4) 6-3 6-1
HardM15 Nakhon Pathom - 21-07-2025

R1

JPNT. Masabayashi
L
6-4 6-2
HardM15 Nakhon Pathom - 14-07-2025

R2

CZED. Palan
L
6-4 6-4

R1

INDS. Karteek
W
6-3 6-2
HardPune Challenger - 17-02-2025

Q1

AUSM. Dellavedova
L
6-2 6-3
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M. Dellavedova vs A. V. Paparkar Stats Breakdown Vs All H2H Opponents

Stats
54.62% (331/275)YTD Win/Loss16.67% (1/5)
52.60% (718/647)Sets Win/Loss23.08% (3/10)
51.62% (6450/6046)Games Win/Loss40.83% (49/71)
57.96% (182/132)Hard Win/Loss16.67% (1/5)
53.18% (142/125)Clay Win/Loss0% (0/0)
16.67% (2/10)Indoor Hard W/L0% (0/0)
38.46% (5/8)Grass Win/Loss0% (0/0)
0.11Aces Per Game0.19
691Aces Total11
0.13Double Faults Per Game0.17
787Total Double Faults10
1:14:28Average Match Time1:31:13
392.46Average Opponent Rank389.83
70% (19572/28053)1st Serve %61% (240/394)
64% (12447/19572)1st Serve Win %59% (141/240)
50% (4214/8481)2nd Serve Win %56% (86/154)
44% (1219/2794)Break Points Won % (Total)35% (8/23)
40% (10984/27310)Return Points Win %32% (119/369)
0.00% (0/1)Slam W/L0% (0/0)
50.00% (1/1)Main Tour W/L0% (0/0)
37.35% (31/52)Challenger W/L0.00% (0/2)
57.50% (299/221)Futures W/L25.00% (1/3)
54% (322/591)Best of 3 Sets Win %17% (1/6)
25% (1/4)Best of 5 Sets Win %0% (0/0)
45% (52/116)Tiebreaks Win % (Total)100% (1/1)
63% (100/160)Deciding Set Win %0% (0/1)
88% (320/282)1st Set Won, Won Match50% (2/1)
12% (320/37)1st Set Won, Lost Match50% (2/1)
16% (286/45)1st Set Lost, Won Match0% (4/0)

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